Use Cases
I help to design a well by pursuing design objectives and using the tools/software autonomously.
I automate the well design and engineering process, freeing up engineering teams and well planners to focus on more strategic activities
Well design
Nora automates the well design process, and use software/tools for trajectory design, casing design, etc. more eficiently to pursue the goals you set for her.
Drilling plan optimization
Nora optimizes your drilling (or section plan) using dynamic transient modelling, and help prepare drillers/engineers for the upcoming wells
Data
management
Nora will unify and interconnect all data needed for well design and engineering Attempting to solve our industry’s data universe value dilemma.
Reporting
Nora automatically creates Daily Drilling Reports, End-of-Well Reports, Operational Reports, etc.
Nora reasons, makes decisions, and takes actions to pursue goals
Nora is an autonomous AI Agent, not just an LLM, nor another AI app. Nora goes go beyond just providing insights or generating content. Moreover, she learns and adapts. She retains knowledge, and scales.
Data and physics
- Nora does not keep or retain access to data used or analyzed in operations or training, just the knowledge
- Think of Nora as like a teacher, who through extensive study is enabled to advise and explain, without having all the data memorized.
User of apps
- Nora pursue complex goals autonomously with limited supervision.
- This can involve “tools” and “apps” as Wellcat for casing design, Compass for trajectory design, Oliasoft’s Blowout and Kill Simulator, for stochastic blowout calculations, etc.)
Learning machine
- Nora is accurate and contextual because she understands the logic and physics of the process of drilling a well.
- She’s using a hybrid approach – dynamic modelling and digital twins combined with Agentic AI, Large Language Models, and Reinforcement Learning.
